# Graph Database

The FalkorDB MCP server is a middleware that follows the Model Context Protocol (MCP) and is used to connect AI models with the FalkorDB graph database to implement query and interaction functions.

An implementation of FalkorDB's MCP service that connects AI models with graph databases

The MCP server for the Kuzu database, providing schema query and Cypher execution functions

The MCP server of PuppyGraph, supporting querying graph data via Gremlin and Cypher

A Neo4j database operation service based on the MCP framework, providing asynchronous database operation interfaces and proxy configuration support

A knowledge graph memory server based on Neo4j, providing efficient storage and retrieval capabilities for AI interactions

A Model Context Protocol (MCP) server implemented for NebulaGraph, providing seamless access to NebulaGraph, supporting graph exploration, querying, and shortcut algorithms, and being easily integrated with LLM tool systems.

An implementation of a knowledge graph management MCP server based on Neo4j, providing standard interfaces for the storage and retrieval of graph databases.

MCP Neo4j Server is a middleware that connects the Neo4j graph database to Claude Desktop and supports graph database operations through natural language interaction.

An implementation of the Model Context Protocol server for NebulaGraph, providing seamless access to NebulaGraph and supporting graph exploration, querying, and quick algorithms.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

The MCP Neo4j Server is a middleware that connects the Neo4j graph database with the Claude desktop, supporting graph database operations through natural language, including querying, creating nodes and relationships, etc.

An MCP plugin that provides code analysis capabilities for AI assistants, supporting code structure, quality, documentation analysis, and natural language queries.

A server implementing the Model Context Protocol, providing access to the NebulaGraph database, supporting graph data exploration and query, and easy to integrate with LLM tool systems.

Neo4j MCP server implementation that manages graph database operations through the Model Context Protocol, is compatible with Cursor and Claude Desktop, and supports Cypher query execution.

The GraphDB MCP Server provides read-only access to Ontotext GraphDB, supporting SPARQL queries and RDF graph exploration

The Neo4j Appointment System MCP Server based on the Neo4j graph database provides complete functions such as appointment management, customer management, and employee management, and supports MCP tools for large - language models.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.

A Model Context Protocol server implemented for NebulaGraph, providing graph database access and query functions, and supporting LLM tool system integration.

A Python module that exposes the GraphQL schema information of Raphtory graphs through the FastMCP server, supporting LLMs to explore and understand the graph structure.